Linkedin.Learning.Data.Science.Foundations.Data.Mining.in.R-QUiD

Section

Appz

Group

QUiD

Size

775,15 MB

Files

19

Date

2021-02-12

NFO

Release Name : Linkedin.Learning.Data.Science.Foundations.Data.Mining.in.R-QUiD

Publisher    : Linkedin
Release Date : 2021-02-12
Size         : 17 x 50MB
Url          : https://www.lynda.com/IT-tutorials/Data-Science-Foundations-Data-Mining-R/2876204-2.html


Release Info: 
Data science continues to grow in sophistication and demand at an exponential rate. Data 
mining is the area of data science that focuses on finding actionable patterns in large 
and diverse datasets: clusters of similar customers, trends over time that can only be 
spotted after disentangling seasonal and random effects, and new methods for predicting 
important outcomes. Instructor Barton Poulson focuses on data mining in R, presents a 
broad range of algorithms including machine learning methods, and offers important 
information on laws and policies that affect data mining. Barton gives an overview of 
dimensionality reduction. He introduces clustering, including hierarchical clustering, 
then goes into association analysis. He explains time-series mining and decomposition, 
then concludes with text mining, sentiment analysis, and sentiment scoring.


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